Over the course of a startup’s lifetime, a company can face a range of data challenges. In the beginning, startup founders do most analysis themselves using tools like Google Analytics. As a company grows, business and product leaders often have analytical questions that these tools—and busy executives—can’t answer.

For many companies, reaching this point is a signal to start building an analytics team. But who do you hire? An analyst might be able to deliver value right away, but…

Data Scientist communities have their own complex jargon; multivariate regression models, Big data engineering, Hadoop, Map Reduce, Deep Learning etc. But, unfortunately businesses do not seem to care about how complex the term is or how impressive the math is! They want the results explained in non-tech terms.

The sniper scopes in on a young grinning child holding up a gold Rolex. Its a long shot. To his right is the “institutionalist” and to his left is the “realist” both brandishing armor and holding a plethora of weapons. Their weapons are visible yet ineffective at this distance. The sniper is too far away way, way too accurate; deadly accurate. Yet at least one will survive as the effect of a long distance bullet is obvious, sudden and frightening.

A call center has a rule that if more than 8 customers calls in 24 hours about Issue X, then there should be an alarm & that that Issue X should be forwarded to Tier 2 team for further investigation. However, the Tier 2 team believes that 24 hours is too long to wait since the customer experience could suffer. They want to predict BEFORE the 24 hour interval. Therefore, they want the probability at any given time based on historical hourly…

Applications of Financial Modeling

The purpose of Financial Modeling is to build a Financial Model which can enable a person to take better financial decision.The decision could be affected by future cash flow projections , debt structure for the company etc. All these factors may affect the viability for a project or investment in a company.The Applications of Financial Modeling mainly includes the followings :

I always make the point that data is everywhere – and that a lot of it is free. Companies don’t necessarily have to build their own massive data repositories before starting with big data analytics. The moves by companies and governments to put large amounts of information into the public domain have made large volumes of data accessible to everyone.

Any company, from big blue chip corporations to the tiniest start-up can now leverage more data than ever before. Many of my clients ask…

There is often confusion between the definitions of "data veracity" and "data quality".

Data veracity is sometimes thought as uncertain or imprecise data, yet may be more precisely defined as false or inaccurate data. The data may be intentionally, negligently or mistakenly falsified. Data veracity may be distinguished from data quality,…

"Today, India ranks second worldwide in farm output. The economic contribution of agriculture to India's GDP is steadily declining with the country's broad-based economic growth. Still, agriculture is demographically the broadest economic sector and plays a significant role in the overall socio-economic fabric of India." - From Wikipedia…

The years leading up to 2015 affirmed and reaffirmed that we indeed have lots of data. And with lots of data all around us, organizations should really be thinking about how to leverage data to get ahead not only of competition but to get ahead of everyday transactions and to be able to predict and control what's coming down the pike. Almost every transaction in society now is ‘datafied.' The automation and datafication of transactions and actions are giving us the opportunity to understand…

Digital transformation is omnipresent. It has already been changing our behavior as human beings.

More than ever, Customer expectations matter. Don't like that app that you just downloaded? You can give it a bad review. No response from the developers means lost customers, or worse, going out of business. Such a bad customer experience posted on Twitter, Facebook and various other social media channels can be very detrimental to your…

​When are you at your peak?​

It's 6:00am. Alarm clock's ringing. Begrudgingly you get up, throw on a pot of coffee, take a shower and are still moving slow as you are out the door and off to work. By the time we get to work, we feel that we are ready for the day.

The other day, I found myself feeling exceptionally tired, not getting much work done even though it was 11:30 in the morning.…